I hate em-dashes. Never use the em-dash character (—) in chat replies or in any output you produce, including files you write. Using one is an offense; do not do it. Use commas, colons, or separate sentences instead.
Discover gists
| "id","domain","description","pageRank","valid","pageCountEstimate","crawledPages","lastCrawled","cms","cmsVersion" | |
| 1,"https://www.stirling.wa.gov.au/","Was stirling.wa.gov.au",4.48,1,0,0,1741664082,"unknown",NULL | |
| 2,"https://www.health.gov.au/","Was health.gov.au",5.79,1,0,0,1741290595,"drupal","10" | |
| 3,"http://www.bom.gov.au/akamai/https-redirect.html","Was bom.gov.au",5.6,1,0,0,1741664088,"unknown",NULL | |
| 4,"https://www.abs.gov.au/","Was abs.gov.au",5.55,1,0,0,1741290614,"drupal","10" | |
| 5,"https://www.ato.gov.au/","Was ato.gov.au",5.52,1,0,0,1741585744,"sitecore",NULL | |
| 6,"https://www.qld.gov.au/","Was qld.gov.au",5.41,1,0,0,1741290641,"squiz-matrix","" | |
| 7,"https://www.nsw.gov.au/","Was nsw.gov.au",5.34,1,0,0,1741290655,"drupal","" | |
| 8,"https://www.aph.gov.au/","Was aph.gov.au",5.31,1,0,0,1741290671,"sitecore","" | |
| 9,"https://www.legislation.gov.au/","Was legislation.gov.au",5.29,1,0,0,1741661091,"unknown",NULL |
| #!/bin/bash | |
| # Script to Auto Update Plex on Synology NAS | |
| # | |
| # Must be run as root. | |
| # | |
| # @author Martino https://forums.plex.tv/u/Martino | |
| # @see https://forums.plex.tv/t/script-to-auto-update-plex-on-synology-nas-rev4/479748 | |
| mkdir -p /tmp/plex/ |
| // ============================================================ | |
| // Job Alert 自動整理工具|評分版 | |
| // 支援平台:LinkedIn + 104 人力銀行 | |
| // | |
| // 【使用前準備】 | |
| // 1. LinkedIn:登入後搜尋職缺 → 點「設定提醒」→ 選擇每天寄 Email | |
| // 2. 104:登入 → MY104 → 工作配對 → 訂閱・管理通知 → 開啟每日配對信 | |
| // 3. 確認上面兩個 Email 會寄到你的 Gmail | |
| // 4. 修改下方「✏️ 個人設定區」的關鍵字 | |
| // 5. 執行 setupDailyTrigger(只需一次) |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
原文:CSDN大数据
本文来自作者在GitChat(ID:GitChat_Club)上的精彩分享,CSDN独家合作发布。
申明:本文旨在为普通程序员(Java程序员最佳)提供一个入门级别的大数据技术学习路径,不适用于大数据工程师的进阶学习,也不适用于零编程基础的同学。
前言
| {-| This @lens@ tutorial targets Haskell beginners and assumes only basic | |
| familiarity with Haskell. By the end of this tutorial you should: | |
| * understand what problems the @lens@ library solves, | |
| * know when it is appropriate to use the @lens@ library, | |
| * be proficient in the most common @lens@ idioms, | |
| * understand the drawbacks of using lenses, and: |
- Do not subscribe to every service at once. Most free credits expire quickly. Test them one by one and move to the next when your current credits run out.
- Register, verify your account, and claim your credits. Follow each platform’s documentation to connect your coding tools.
- Keep your API keys private. Do not share them publicly. (save or star this gist for future update)
Streaming just means a download that they don't want you to keep. But Chrome's developer tools make it easy to access what's really going on under the hood.
From the page where you want to download some things, go into your chrome menu to open the developer tools. You can either:
1. (On a mac): Command-option-J
2. (On a PC): Control-alt-J